Hey there! So you want to learn machine learning from scratch? I totally get it. With AI taking over the finance industry, it’s no surprise you want to jump on the bandwagon. The good news is that machine learning is the foundation of AI, and with dedication, you can master it.
First things first, don’t worry if you have zero coding experience. I’ve been in your shoes before, and trust me, it’s not as daunting as it seems. Here’s a simple plan to get you started:
1. **Start with the basics**: Begin with understanding the fundamentals of programming. You can start with online resources like Codecademy, Coursera, or edX. Focus on Python, as it’s the most popular language used in machine learning.
2. **Get familiar with math concepts**: Machine learning relies heavily on mathematical concepts like linear algebra, calculus, and probability. Brush up on these topics, and you’ll find it easier to grasp machine learning concepts.
3. **Learn machine learning fundamentals**: Once you have a solid grasp of programming and math, dive into machine learning. Start with supervised and unsupervised learning, then move on to more advanced topics like neural networks and deep learning.
4. **Practice, practice, practice**: The best way to learn machine learning is by doing. Practice with datasets, work on projects, and participate in competitions to improve your skills.
5. **Join online communities**: There are many online communities, like Kaggle and Reddit’s Machine Learning community, where you can connect with other machine learning enthusiasts. Learn from their experiences, and get feedback on your projects.
Remember, learning machine learning takes time and effort. Stay motivated, and you’ll be building your own AI models in no time.
What’s your biggest challenge in getting started with machine learning? Share your thoughts in the comments below!